


'''simple docstring'''

from ...configuration_utils import PretrainedConfig
from ...utils import logging


_lowerCAmelCase     :							Tuple    =				logging.get_logger(__name__)

_lowerCAmelCase     :							Tuple    =				{
    """microsoft/markuplm-base""": """https://huggingface.co/microsoft/markuplm-base/resolve/main/config.json""",
    """microsoft/markuplm-large""": """https://huggingface.co/microsoft/markuplm-large/resolve/main/config.json""",
}

class 		snake_case				(    UpperCAmelCase__						):

				"""simple docstring"""




				_lowerCAmelCase           =    'markuplm'





				def __init__(	self       ,    lowerCamelCase=30522       ,    lowerCamelCase=768       ,    lowerCamelCase=12       ,    lowerCamelCase=12       ,    lowerCamelCase=3072       ,    lowerCamelCase="gelu"       ,    lowerCamelCase=0.1       ,    lowerCamelCase=0.1       ,    lowerCamelCase=512       ,    lowerCamelCase=2       ,    lowerCamelCase=0.02       ,    lowerCamelCase=1E-1_2       ,    lowerCamelCase=0       ,    lowerCamelCase=0       ,    lowerCamelCase=2       ,    lowerCamelCase=256       ,    lowerCamelCase=1024       ,    lowerCamelCase=216       ,    lowerCamelCase=1001       ,    lowerCamelCase=32       ,    lowerCamelCase=50       ,    lowerCamelCase="absolute"       ,    lowerCamelCase=True       ,    lowerCamelCase=None       ,    **lowerCamelCase       ,    )    ->      Union[str, Any]:







					"""simple docstring"""






					super().__init__(
					    pad_token_id=_a       ,    bos_token_id=_a       ,    eos_token_id=_a       ,    **_a       ,    )
					snake_case__			:			List[str]             =		vocab_size
					snake_case__			:			str             =		hidden_size
					snake_case__			:			int             =		num_hidden_layers
					snake_case__			:			Any             =		num_attention_heads
					snake_case__			:			int             =		hidden_act
					snake_case__			:			int             =		intermediate_size
					snake_case__			:			Any             =		hidden_dropout_prob
					snake_case__			:			List[Any]             =		attention_probs_dropout_prob
					snake_case__			:			Union[str, Any]             =		max_position_embeddings
					snake_case__			:			Tuple             =		type_vocab_size
					snake_case__			:			Union[str, Any]             =		initializer_range
					snake_case__			:			str             =		layer_norm_eps
					snake_case__			:			Union[str, Any]             =		position_embedding_type
					snake_case__			:			Optional[Any]             =		use_cache
					snake_case__			:			Optional[int]             =		classifier_dropout
					# additional properties
					snake_case__			:			List[Any]             =		max_depth
					snake_case__			:			Union[str, Any]             =		max_xpath_tag_unit_embeddings
					snake_case__			:			Optional[int]             =		max_xpath_subs_unit_embeddings
					snake_case__			:			List[str]             =		tag_pad_id
					snake_case__			:			str             =		subs_pad_id
					snake_case__			:			Tuple             =		xpath_unit_hidden_size











"""simple docstring"""




import random



def        a__					(							snake_case__			,					snake_case__			,					snake_case__ = False							)		->   dict:
			lowerCamelCase      =   {i: [] for i in range(snake_case__							)}

			# if probability is greater or equal than 1, then generate a complete graph
			if probability >= 1:
						return complete_graph(snake_case__							)
			# if probability is lower or equal than 0, then return a graph without edges
			if probability <= 0:
						return graph

			# for each couple of nodes, add an edge from u to v
			# if the number randomly generated is greater than probability probability
			for i in range(snake_case__							):
						for j in range(i + 1			,					snake_case__							):
									if random.random() < probability:
												graph[i].append(snake_case__							)
												if not directed:
															# if the graph is undirected, add an edge in from j to i, either
															graph[j].append(snake_case__							)
			return graph



def        a__					(							snake_case__							)		->   dict:
			return {
			    i: [j for j in range(snake_case__							) if i != j] for i in range(snake_case__							)
			}


if __name__ == "__main__":
					import doctest

					doctest.testmod()



